Prof. Xiong Li
Sun Yat-sen University, China

Prof. Xiong Li focuses on researching in System Analysis and Simulation, Agent-based Modeling, Complex Systems Engineering, and Logistics Data Analytics. He has published a book entitled “Agent-based Warfare Modeling” by National Defense Industry Press in 2013, and more than 100 papers in scientific journals, of which 60 have been indexed by SCI and EI. Besides, his PhD thesis entitled “Study on Warfare System Modeling Based on Meta-agents Interaction Chain” was nominated as one of the 30 Chinese PLA most excellent doctor theses in 2010 and the 100 national most excellent doctor theses in 2011, respectively. He is a reviewer of many SCI journals, such as International Journal of Production Research, Computational and Mathematical Organization Theory, and Journal of Systems Engineering and Electronics.

Speech Title: Agent-based Modeling and Simulation for Networked Equipment Support



 

Prof. Zhenlei Chen
Ningbo University, China

Zhenlei Chen, born in 1963, professor, doctoral supervisor, PhD in engineering at the University of Illinois USA, a distinguished expert of the National "Thousand Talents Program", a distinguished expert of the "Mass Entrepreneurship and Innovation Talents" of Jiangsu Province, and a distinguished expert of the "Thousand Talents Program" of Zhejiang Province. He is now the director of the High end Manufacturing Simulation and Testing Research Institute of Ningbo University, and once served as the senior engineer of the Engine Business Department of Ford Motor Company, the technical director of Sany Heavy Machinery Co., Ltd., the vice president of the Engine Research Institute, and the deputy director of the Test and Inspection Center, key special evaluation experts of in "Ten Thousand Talents Plan". Since 2017, he has published 41 papers in Journal of Mechanical Science and Technology, Journal of Aerospace Engineering and other journals, including 14 SCI papers.

Research field: high-end manufacturing CAE simulation and test detection research in engines, excavators, precision machine tools, intelligent sewage treatment tanks, etc. The main research directions include computer simulation and test detection of strength and fatigue, flow field and performance, vibration and noise of construction machinery, solutions for engineering problem quality improvement and cost control, and solutions for energy conservation and emission reduction of construction machinery.